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Random Dynamical Systems in Finance [Minkštas viršelis]

(University of Calgary, Alberta, Canada), (Tufts University, USA)
  • Formatas: Paperback / softback, 357 pages, aukštis x plotis: 234x156 mm, weight: 453 g
  • Išleidimo metai: 23-Sep-2019
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-10: 0367380145
  • ISBN-13: 9780367380144
Kitos knygos pagal šią temą:
Random Dynamical Systems in FinanceDidesnis paveikslėlis
  • Formatas: Paperback / softback, 357 pages, aukštis x plotis: 234x156 mm, weight: 453 g
  • Išleidimo metai: 23-Sep-2019
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-10: 0367380145
  • ISBN-13: 9780367380144
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9780367380144.html
Raktažodžiai:

The theory and applications of random dynamical systems (RDS) are at the cutting edge of research in mathematics and economics, particularly in modeling the long-run evolution of economic systems subject to exogenous random shocks. Despite this interest, there are no books available that solely focus on RDS in finance and economics. Exploring this emerging area, Random Dynamical Systems in Finance shows how to model RDS in financial applications.





Through numerous examples, the book explains how the theory of RDS can describe the asymptotic and qualitative behavior of systems of random and stochastic differential/difference equations in terms of stability, invariant manifolds, and attractors. The authors present many models of RDS and develop techniques for implementing RDS as approximations to financial models and option pricing formulas. For example, they approximate geometric Markov renewal processes in ergodic, merged, double-averaged, diffusion, normal deviation, and Poisson cases and apply the obtained results to option pricing formulas.





With references at the end of each chapter, this book provides a variety of RDS for approximating financial models, presents numerous option pricing formulas for these models, and studies the stability and optimal control of RDS. The book is useful for researchers, academics, and graduate students in RDS and mathematical finance as well as practitioners working in the financial industry.

Introduction. Deterministic Dynamical Systems and Stochastic Perturbations. Random Dynamical Systems and Random Maps. Position-Dependent Random Maps. Random Evolutions as Random Dynamical Systems. Averaging of the Geometric Markov Renewal Processes (GMRP). Diffusion Approximations of the GMRP and Option Price Formulas. Normal Deviation of a Security Market by the GMRP. Poisson Approximation of a Security Market by the GMRP. Stochastic Stability of Fractional RDS in Finance. Stability of RDS with Jumps in Interest Rate Theory. Stability of Delayed RDS with Jumps and Regime-Switching in Finance. Optimal Control of Delayed RDS with Applications in Economics. Optimal Control of Vector-Delayed RDS with Applications in Finance and Economics. RDS in Option Pricing Theory with Delayed/Path-Dependent Information. Epilogue. Index.

Swishchuk, Anatoliy ; Islam, Shafiqul